Projects per year
Overview
Profile summary
Personal website: www.andywills.info
Research interests:
My principal interest is the categorization of visual objects. This interest has also led me to work on the role of errors and attention in learning more generally. By some metrics, I'm in the top 1% of my field worldwide (the methodology for this calculation can be found here).
Most recently, I have been working on human-centred AI - an emerging field at the intersection of AI and psychology.
I'm also a strong advocate for open science, and the maintainer of a number of R packages, including catlearn (an open repository of learning and categorization models, with over 43,000 downloads to date).
Academic background
I became interested in artificial intelligence through an early interest in computers (I was paid for my first computer program at age 12). I studied psychology as an undergraduate (Southampton, 1990 - 1993) because of a (still-held) belief that psychology can inform the design of intelligent systems. A continuing interest in neural networks led to me studying for a Ph.D. with computational learning theorist Ian McLaren (Cambridge, 1994 - 1998). I continued my Ph.D. research as a Junior Research Fellow (Emmanuel College, Cambridge, 1998 - 2000).
Keen to secure a permanent position, and interested in teaching as well as research, I moved to Exeter University, where I became a lecturer (2000), senior lecturer (2005), and then associate professor (2006). In 2012, I moved to Plymouth as a full professor.
Supervised research degrees
2023: Lenard Dome
2019: Angus Inskter
2017: Charlotte Edmunds
2014: Henrietta Roberts
2014: Fayme Yeates
2006: Fraser Milton
2005: Alice Welham
2004: Kazuhiro Goto
Teaching interests
Research methods, cognitive psychology and neuroscience.
I'm the lead author of the Creative Commons teaching materials Research Methods in R.
Academic qualifications
04 Psychology, Doctorate, University of Cambridge
Award Date: 1 Apr 1998
04 Psychology, First Degree, University of Southampton
Award Date: 1 Jul 1993
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Biomarkers for AI-assisted diagnosis of autism in adults: A feasibility study
Aly, A. (CoI - Co-Investigator), Shankar, R. (CoI - Co-Investigator) & Wills, A. (PI - Principal Investigator)
Engineering and Physical Sciences Research Council
1/09/25 → 20/06/26
Project: Research
Research output
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Better generalization through distraction? Concurrent load reduces the size of the inverse base-rate effect
Dome, L. & Wills, A. J., 25 Feb 2025, In: Psychonomic Bulletin and Review. 32, 4, p. 1776-1784 9 p.Research output: Contribution to journal › Article › peer-review
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g-Distance: On the Comparison of Model and Human Heterogeneity
Dome, L. & Wills, A. J., 1 Apr 2025, In: PSYCHOL REV. 132, 3, p. 632-655 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
g-distance: On the comparison of model and human heterogeneity
Wills, A. & Dome, L., 22 Jan 2025, (Accepted/In press) (Psychological Review).Research output: Working paper / Preprint › Preprint
Open Access -
Identification of critical brain regions for autism diagnosis from fMRI data using explainable AI: an observational analysis of the ABIDE dataset
Vidya, S., Gupta, K., Aly, A., Wills, A., Ifeachor, E. & Shankar, R., 19 Sept 2025, In: eClinicalMedicine. 88, p. 103452Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
Structure-based dissociations provide agnostic evidence to the multiple-systems debate
Edmunds, C. E. R., Wills, A. J. & Milton, F., 13 Jan 2025, In: Nature Reviews Psychology. 4, 66, p. 66-66 1 p.Research output: Contribution to journal › Letter › peer-review
Open AccessFile3 Downloads (Pure)